CNN vs FNN

This program was an analysis of a CNN vs FNN on various reinforcement algorithms. It made use of algorithms such as Fitted Q iteration, DQN, and REINFORCE. It compared the performance between the two different neural network architectures based on the returned reward after using the training algorithm. The source code is on my GitHub.